DeepTrackAI · giovannivolpe · Sep 29, 2026 · Jul 8, 2026 · Aug 3, 2026 · Aug 3, 2026
diff --git a/README.md b/README.md
@@ -97,6 +97,12 @@ Here you find a series of notebooks providing an overview of the core features o
 
   Using PyTorch gradients to fit a Gaussian generated by a DeepTrack2 pipeline.
 
+
+- DTGS162 **[Differentiable Optimization](https://github.com/DeepTrackAI/DeepTrack2/blob/develop/tutorials/1-getting-started/DTGS162_differentiable_optimization.ipynb)** <a href="https://colab.research.google.com/github/DeepTrackAI/DeepTrack2/blob/develop/tutorials/1-getting-started/DTGS162_differentiable_optimization.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg"></a>
+
+  Using differentiable programming to optimize the parameters of a DeepTrack2 pipeline.
+
+
 - DTGS171  **[Creating Custom Scatterers](https://github.com/DeepTrackAI/DeepTrack2/blob/develop/tutorials/1-getting-started/DTGS171_custom_scatterers.ipynb)** <a href="https://colab.research.google.com/github/DeepTrackAI/DeepTrack2/blob/develop/tutorials/1-getting-started/DTGS171_custom_scatterers.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg"></a>
 
   Creating custom scatterers of arbitrary shapes.

diff --git a/tutorials/1-getting-started/DTGS162_differentiable_optimization.ipynb b/tutorials/1-getting-started/DTGS162_differentiable_optimization.ipynb
diff --git a/tutorials/4-developers/DTDV431_mie_position_optimization.ipynb b/tutorials/4-developers/DTDV431_mie_position_optimization.ipynb